Circuit simulation and image encryption based on a six-dimensional cellular neural network hyperchaotic system

被引:0
|
作者
Jie Zhang
Qinggang Xie
Longhao Xu
Xiaopeng Zhu
Jinyou Hou
机构
[1] College of Physics and Electronic Engineering Northwest Normal University Engineering Research Center of Gansu Province for Intelligent Information Technology and Application,
来源
Multimedia Tools and Applications | 2024年 / 83卷
关键词
Six-dimensional hyperchaos; Circuit simulation; Double image encryption; DNA dynamic encoding;
D O I
暂无
中图分类号
学科分类号
摘要
This paper proposes a six-dimensional hyperchaotic system based on the Cellular Neural Networks (CNN) theory. Numerical analysis of the Lyapunov exponential spectrum, bifurcation diagrams, and complexity methods reveals that the system has multiple coexisting attractors and high initial sensitivity, verifying its rich dynamics and making it highly valuable in secure communications. The circuit of the system was then designed and implemented using the Multisim circuit simulation software, and the experimental results agreed with the numerical simulation results, verifying the realistic feasibility of the system. Finally, a color image chunking encryption algorithm is designed with the DNA algorithm, using the chaotic sequence generated by the six-dimensional CNN as the secret key source and the Logistic chaos mapping to generate the private key again to achieve double encryption. Since the legend of the algorithm is generated from the plaintext image, the effect of “one image, one secret” can be realized. The results show that the encryption algorithm has a good effect, high dislocation of the encrypted image, low correlation between neighboring pixels, increased sensitivity to the key, and high complexity and security.
引用
收藏
页码:38965 / 38997
页数:32
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